SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs | Paper Citation Record

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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Unresolved cited work

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Observation c4a03957-f3dc-4aa0-8eae-6d36c3c41bbc · outbound

This paper cites A survey on application of knowledge graph.Journal of Physics: Conference Series, 1487(1):012016, 2020.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs A survey on application of knowledge graph.Journal of Physics: Conference Series, 1487(1):012016, 2020

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Observation 459fab7f-8ebf-4f0f-8093-5de2e3fa65f9 · outbound

This paper cites A knowledge graph for industry 4.0.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs A knowledge graph for industry 4.0

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Observation 28ca7eea-911a-46e3-8221-3e905c039f22 · outbound

This paper cites Complex knowledge base question answering: A survey.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Complex knowledge base question answering: A survey

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Observation d2a082d3-eccc-401e-bd6c-39d17d827fc0 · outbound

This paper cites Core techniques of question answering systems over knowledge bases: a survey.Knowledge and Information systems, 55(3):529–569, 2018.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Core techniques of question answering systems over knowledge bases: a survey.Knowledge and Information systems, 55(3):529–569, 2018

Reference 5

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Observation 81595231-82b8-4b89-8a42-193e3ff934bf · outbound

This paper cites Rgr-kbqa: Generatinglogicalformsforques- tion answering using knowledge-graph-enhanced large language model.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Rgr-kbqa: Generatinglogicalformsforques- tion answering using knowledge-graph-enhanced large language model

Reference 6

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Observation 25bc1658-19e9-4a46-807c-38bf21df6294 · outbound

This paper cites Semantic parsing with candi- date expressions for knowledge base question answering.arXiv preprint arXiv:2410.00414, 2024.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Semantic parsing with candi- date expressions for knowledge base question answering.arXiv preprint arXiv:2410.00414, 2024

Reference 7

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Observation 89d44691-a59f-4a85-ad1d-c14a46164382 · outbound

This paper cites A brief sur- vey on recent advances in coreference resolution.Artificial Intelligence Review, 56(12):14439–14481, 2023.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs A brief sur- vey on recent advances in coreference resolution.Artificial Intelligence Review, 56(12):14439–14481, 2023

Reference 8

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Observation f8f84763-56ca-419c-a8fe-fc115fdfa7a6 · outbound

This paper cites End-to-end neural coreference resolution.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs End-to-end neural coreference resolution

Reference 9

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Observation 287e3ea2-6211-4da1-a4d3-fb346812326d · outbound

This paper cites Large Language Models: A Survey.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Large Language Models: A Survey

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Observation 05166ec9-a963-4e4b-83e2-d732e20ce2be · outbound

This paper cites A Survey of Large Language Models.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs A Survey of Large Language Models

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Observation aada327c-72ca-49bb-9181-1803d03c08b7 · outbound

This paper cites Two is Better Than One: Answering Complex Questions by Multiple Knowledge Sources with Generalized Links.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Two is Better Than One: Answering Complex Questions by Multiple Knowledge Sources with Generalized Links

Reference 12

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Observation 53331c96-5124-4a6f-8268-1dbb6077033a · outbound

This paper cites A progressive question answering framework adaptable to multiple knowledge sources.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs A progressive question answering framework adaptable to multiple knowledge sources

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Observation 3893f793-7eff-4df9-9d8d-b8888b377233 · outbound

This paper cites Question answering system based on the combination of large language model and knowledge graph.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Question answering system based on the combination of large language model and knowledge graph

Reference 14

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Observation b4e04bfa-ca0b-4c57-85d3-831e0d49927a · outbound

This paper cites An inter- pretable logic kbqa method based on open-source large language models.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs An inter- pretable logic kbqa method based on open-source large language models

Reference 15

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Observation 9f69a1d0-c448-48b9-9477-1f1c5e392172 · outbound

This paper cites A Survey on Semantic Parsing.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs A Survey on Semantic Parsing

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Observation 9f2cba38-b51c-44a1-bc1a-3b65c283b45d · outbound

This paper cites Semantic Parsing for Question Answering over Knowledge Graphs.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Semantic Parsing for Question Answering over Knowledge Graphs

Reference 17

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Observation ae9d9a11-7009-4be5-897c-a780d70dff20 · outbound

This paper cites Cogkr: Cognitive graph for multi-hop knowledge reasoning.IEEE Transactions on Knowledge and Data Engineering, 35(2):1283–1295, 2021.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Cogkr: Cognitive graph for multi-hop knowledge reasoning.IEEE Transactions on Knowledge and Data Engineering, 35(2):1283–1295, 2021

Reference 18

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Observation a379ee72-9cfd-486d-aacc-520e066e6504 · outbound

This paper cites CLEAR-KGQA: Clarification-Enhanced Ambiguity Resolution for Knowledge Graph Question Answering.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs CLEAR-KGQA: Clarification-Enhanced Ambiguity Resolution for Knowledge Graph Question Answering

Reference 19

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Observation 165cce15-32b1-4aa6-8f9f-b51fd12ec1d8 · outbound

This paper cites Cord: a three-stage coarse-to-fine framework for relation detection in knowledge base ques- tion answering.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Cord: a three-stage coarse-to-fine framework for relation detection in knowledge base ques- tion answering

Reference 20

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Observation 95af0f03-da2e-4396-9821-448cf355e341 · outbound

This paper cites Se- mantic parsing via staged query graph generation: Question answering with knowledge base.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Se- mantic parsing via staged query graph generation: Question answering with knowledge base

Reference 21

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Observation 50e44ad9-ec96-4821-a449-140832b500b7 · outbound

This paper cites Constraint-based question answering with knowledge graph.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Constraint-based question answering with knowledge graph

Reference 22

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Observation a802066a-cf39-45f8-8463-f7c3fe4bfd2b · outbound

This paper cites A state-transition framework to answer complex questions over knowledge base.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs A state-transition framework to answer complex questions over knowledge base

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Observation d978ecf3-f173-440a-8857-f9bc0ae2b2d5 · outbound

This paper cites Few-shot in-context learning for knowledge base question answering.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Few-shot in-context learning for knowledge base question answering

Reference 24

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Observation 329150d1-61cc-48db-9d4e-c75e7a036495 · outbound

This paper cites Code- style in-context learning for knowledge-based question answering.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Code- style in-context learning for knowledge-based question answering

Reference 25

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This paper cites ChatKBQA: A generate-then-retrieve framework for knowledge base question answering with fine-tuned large language models.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs ChatKBQA: A generate-then-retrieve framework for knowledge base question answering with fine-tuned large language models

Reference 26

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This paper cites Harness- ing large language models for knowledge graph question answering via adaptive multi-aspect retrieval-augmentation.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Harness- ing large language models for knowledge graph question answering via adaptive multi-aspect retrieval-augmentation

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This paper cites Interactive-KBQA: 32 Multi-turninteractionsforknowledgebasequestionansweringwithlarge language models.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Interactive-KBQA: 32 Multi-turninteractionsforknowledgebasequestionansweringwithlarge language models

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This paper cites ODA: Observation-driven agent for integrating LLMs and knowledge graphs.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs ODA: Observation-driven agent for integrating LLMs and knowledge graphs

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This paper cites Rea- soning on graphs: Faithful and interpretable large language model rea- soning.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Rea- soning on graphs: Faithful and interpretable large language model rea- soning

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This paper cites Conversational question answering sys- tems: A comprehensive literature review.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Conversational question answering sys- tems: A comprehensive literature review

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This paper cites Khapra, Karthik Sankara- narayanan, and Sarath Chandar.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Khapra, Karthik Sankara- narayanan, and Sarath Chandar

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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Con- versational question answering on heterogeneous sources

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This paper cites Semantic parsing for conversational question answering over knowledge graphs.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Semantic parsing for conversational question answering over knowledge graphs

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This paper cites Semantic parsing for conversational question answering over knowledge graphs.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Semantic parsing for conversational question answering over knowledge graphs

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This paper cites Sadler, Percy Liang, Xifeng Yan, andYuSu.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Sadler, Percy Liang, Xifeng Yan, andYuSu

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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Unresolved cited work

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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs A brief survey and comparative study of recent development of pronoun coreference resolu- tion in English

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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Don’t generate, discriminate: A pro- posal for grounding language models to real-world environments

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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs A qualitative comparison of CoQA, SQuAD 2.0 and QuAC

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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Unresolved cited work

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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Reinforced question rewriting for conversational ques- tion answering

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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Question rewriting for conversational question answering

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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Robust training for conversational question answering models with reinforced reformulation generation

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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Ques- tion rewriting? assessing its importance for conversational question an- swering

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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Con- versational question answering with language models generated refor- mulations over knowledge graph

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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Integrating large language models with graph-based reasoning for conversational question answering

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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Conversational semantic parsing using dynamic context graphs

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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Unresolved cited work

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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Reinforcement learning from constraints and focal entity shifting in conversational KGQA

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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Dialog-to- action: Conversational question answering over a large-scale knowledge base

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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs KaFSP: Knowledge-aware fuzzy semantic parsing for conversational question answering over a large-scale knowl- edge base

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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs A survey of large language models, 2025

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This paper cites Miao, Eduardo Rodriguez Almaraz, Mad- humita Sushil, Atul J.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Miao, Eduardo Rodriguez Almaraz, Mad- humita Sushil, Atul J

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Observation bcd3e2e9-ed4b-4250-812f-4c26a40b2a25 · outbound

This paper cites Large Language Model Agent: A Survey on Methodology, Applications and Challenges.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Large Language Model Agent: A Survey on Methodology, Applications and Challenges

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:56.262137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1521861-5271-4014-859a-5b7473f49ad6 · outbound

This paper cites an unresolved cited work.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Unresolved cited work

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:56.493291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a21e674-174f-4aee-81b1-9250fef8a651 · outbound

This paper cites Yu, and Qingsong Wen.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Yu, and Qingsong Wen

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:56.403787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cca606b-54d7-42cf-9d48-4ae09f519fb9 · outbound

This paper cites Understanding the planning of LLM agents: A survey.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Understanding the planning of LLM agents: A survey

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:56.626275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b98e649-14bf-4f85-80f2-27035961b547 · outbound

This paper cites Steve-eye: Equipping llm-based embodied agents with visual perception in open worlds.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Steve-eye: Equipping llm-based embodied agents with visual perception in open worlds

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:56.546311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef3ad426-78d1-4e0b-af08-98f3cb76e20e · outbound

This paper cites Kim, Christine P.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Kim, Christine P

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:56.796866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45c71ef9-4563-45c8-aaf3-bb92a98e0741 · outbound

This paper cites Plangenllms: A modern survey of LLM planning capabilities.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Plangenllms: A modern survey of LLM planning capabilities

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:56.678763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc90cf4a-01e4-448a-8751-46ce7046f837 · outbound

This paper cites Agentbench: Evaluating llms as agents.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Agentbench: Evaluating llms as agents

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:56.987180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6cda14c-1196-44e4-8c4f-e90a3354130e · outbound

This paper cites Em- bodied agent interface: Benchmarking llms for embodied decision mak- ing.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Em- bodied agent interface: Benchmarking llms for embodied decision mak- ing

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:56.903603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13bd2d57-3599-4bc1-9aba-7e0fcefed715 · outbound

This paper cites Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:57.127467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d9a5bd4-907b-4b3c-863f-ad61dd6e884d · outbound

This paper cites ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:57.060916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5717f73-597e-47a5-be12-1b7cc9f1eeee · outbound

This paper cites Wikidata: a new platform for collaborative data col- lection.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Wikidata: a new platform for collaborative data col- lection

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:57.242713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 844f57d5-13dd-4ca2-a6e9-637f706a5a21 · outbound

This paper cites Voyager: Anopen-ended embodied agent with large language models.Trans.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Voyager: Anopen-ended embodied agent with large language models.Trans

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:57.188035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 133fe46a-9e37-4050-9b41-cfe06899aa4d · outbound

This paper cites Evaluating large language models in semantic parsing for conversational question answering over knowledge graphs.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Evaluating large language models in semantic parsing for conversational question answering over knowledge graphs

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:57.402578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28413ac8-2fb3-433b-be0a-15ab8cd9b589 · outbound

This paper cites Conversational semantic parsing using dynamic context graphs.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Conversational semantic parsing using dynamic context graphs

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:57.316653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a09285d2-4b4f-4077-a4e9-2530eff9b869 · outbound

This paper cites an unresolved cited work.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Unresolved cited work

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:57.487609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f3bd6a6-1837-4523-bc4b-a52a3f378f6c · outbound

This paper cites an unresolved cited work.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Unresolved cited work

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:57.570751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0cd47fe-bba9-4664-ae36-fee8765fdbb2 · outbound

This paper cites an unresolved cited work.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Unresolved cited work

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:57.669544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4504698d-6969-46a0-8b8b-c9372c36b39a · outbound

This paper cites an unresolved cited work.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Unresolved cited work

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:57.750513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdfa0e83-6043-49b0-8f72-ceb55d288692 · outbound

This paper cites an unresolved cited work.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Unresolved cited work

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:57.841901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54d3cf15-3699-4df3-a5fa-d6782e97f6e4 · outbound

This paper cites an unresolved cited work.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Unresolved cited work

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:57.934529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2ac6cbd-8d43-4901-a2de-b9a69c2bb99b · outbound

This paper cites an unresolved cited work.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Unresolved cited work

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:58.012743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf620f10-099e-490e-aa0a-58ea1d5bb3ba · outbound

This paper cites an unresolved cited work.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs Unresolved cited work

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:58.077492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c00734f7-18c9-42de-bcba-5db113f5a426 · outbound

This paper cites selection,.

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs selection,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:58.152873Z

Source-reported events for the cited work

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Coverage vector

Reference resolution

Outbound references

Pith citing papers